dalinvip / pytorch_SRU
SRU implement in pytorch(Training RNNs as Fast as CNNs)
☆46Updated 2 years ago
Alternatives and similar repositories for pytorch_SRU:
Users that are interested in pytorch_SRU are comparing it to the libraries listed below
- NLSTM Nested LSTM in Pytorch☆18Updated 6 years ago
- Training RNNs as Fast as CNNs (Simple Recurrent Unit)☆30Updated 7 years ago
- Training RNNs as fast as CNNs. An unofficial tensorflow implementation.☆32Updated 7 years ago
- Implementation of IndRNN in Keras☆67Updated 4 years ago
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆80Updated 6 years ago
- ☆38Updated 7 years ago
- Keras implementation of “Gated Linear Unit ”☆23Updated 11 months ago
- Codes for "Towards Binary-Valued Gates for Robust LSTM Training".☆76Updated 6 years ago
- Reversible Recurrent Neural Network Pytorch Implementation☆21Updated 7 years ago
- Highway Networks implement in pytorch☆71Updated 2 years ago
- A PyTorch Implementation of "Quasi-Recurrent Neural Networks"☆46Updated 7 years ago
- A PyTorch implementation of : Language Modeling with Gated Convolutional Networks.☆99Updated 3 years ago
- Implement modern LSTM cell by tensorflow and test them by language modeling task for PTB. Highway State Gating, Hypernets, Recurrent High…☆30Updated 6 years ago
- Bi-Directional Block Self-Attention☆123Updated 6 years ago
- ☆40Updated 6 years ago
- Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification☆47Updated 7 years ago
- A simple module consistently outperforms self-attention and Transformer model on main NMT datasets with SoTA performance.☆86Updated last year
- Keras implement of ON-LSTM (Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks)☆156Updated 5 years ago
- Highway networks implemented in PyTorch.☆56Updated 7 years ago
- fairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer☆67Updated 7 years ago
- This is the code for the paper 'Quaternion Recurrent Neural Networks'.☆58Updated 6 years ago
- A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head atte…☆144Updated 6 years ago
- CapsNet for NLP☆67Updated 6 years ago
- pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831☆121Updated 6 years ago
- Adaptive embedding and softmax☆17Updated 3 years ago
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆40Updated 6 years ago
- Code for reversible recurrent neural networks☆38Updated 6 years ago
- Quasi-RNN for language modeling☆57Updated 8 years ago
- Pytorch implement WaveNet☆93Updated 6 years ago
- Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.☆78Updated 7 years ago